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Federated Learning

497 directly classified papers

Papers per year

Papers

How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? AAAI 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology AAAI 2025
FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning AAAI 2025
A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer IJCAI 2025
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025
Federated Retrieval Augmented Generation for Multi-Product Question Answering COLING 2025
Federated Graph Condensation with Information Bottleneck Principles AAAI 2025
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game AAAI 2025
Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025
Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning AAAI 2025
An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning AAAI 2025
Neural Architecture Search Driven by Locally Guided Diffusion for Personalized Federated Learning ICCV 2025
X-FLoRA: Cross-modal Federated Learning with Modality-expert LoRA for Medical VQA EMNLP 2025
FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025
Towards Privacy-preserved Pre-training of Remote Sensing Foundation Models with Federated Mutual-guidance Learning ICCV 2025
Federated Continual Instruction Tuning ICCV 2025
EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models EMNLP 2025
FedAGC: Federated Continual Learning with Asymmetric Gradient Correction ICCV 2025
Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning CVPR 2025
Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning IJCAI 2025
Client Selection for Federated Policy Optimization with Environment Heterogeneity JMLR 2025
Towards Privacy-Preserving Split Learning for ControlNet WACV 2025
Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract) AAAI 2025
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation EMNLP 2025